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docs: add documentation for workspaces + general cleanup (#402)
Summary: This makes some of the changes listed in https://docs.google.com/document/d/14icG0GJG1nPHF3DW7yMreZpe3S8FwYdrI_XYIzDTSbI/edit#heading=h.6ixj5co4aocb * Adds workspaces documention * Adds coverage test to docs build to ensure all exported methods/classes are documented in the docs. * Adds previously undocumented methods/classes to docs * Moves torchconfig from experimental to beta * Splits docker/local scheduler docs * Reshuffles the sidebar to prioritize the schedulers over some of the other content Next steps: * update readme/index/quickstart guides to highlight workspaces + patching w/ ddp builtin * deprioritize/remove some of the more complex custom component examples Pull Request resolved: #402 Test Plan: ``` $ make -C docs coverage; and cat docs/build/0.1.2dev0/coverage/python.txt $ pyre $ pytest ``` CI ![Screenshot 2022-02-28 at 17-21-17 torchx workspace — PyTorch TorchX main documentation](https://user-images.githubusercontent.com/909104/156086755-8330fece-dc86-442d-a656-aaef775bd3e5.png) Reviewed By: kiukchung Differential Revision: D34540003 Pulled By: d4l3k fbshipit-source-id: 585d2ad5f35d87c0451ba6fb1e3fd68b5e0e6e0e
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‎.github/workflows/doc-build.yaml‎

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run: |
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cd docs
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make papermill
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- name: Coverage
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run: |
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set -ex
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cd docs
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make coverage
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if [ "$(wc -l build/*/coverage/python.txt)" -ne 2 ]
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then
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cat build/*/coverage/python.txt
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echo "missing documentation coverage!"
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exit 1
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fi
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docpush:
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runs-on: ubuntu-18.04

‎docs/source/basics.rst‎

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1. :mod:`torchx.specs`: application spec (job definition) APIs
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2. :mod:`torchx.components`: predefined (builtin) app specs
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3. :mod:`torchx.runner`: given an app spec, submits the app as a job on a scheduler
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4. :mod:`torchx.schedulers`: backend job schedulers that the runner supports
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5. :mod:`torchx.pipelines`: adapters that convert the given app spec to a "stage" in an ML pipeline platform
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6. :mod:`torchx.runtime`: util and abstraction libraries you can use in authoring apps (not app spec)
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7. :mod:`torchx.cli`: CLI tool
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3. :mod:`torchx.workspace`: handles patching images for remote execution
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4. :mod:`torchx.cli`: CLI tool
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5. :mod:`torchx.runner`: given an app spec, submits the app as a job on a scheduler
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6. :mod:`torchx.schedulers`: backend job schedulers that the runner supports
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7. :mod:`torchx.pipelines`: adapters that convert the given app spec to a "stage" in an ML pipeline platform
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8. :mod:`torchx.runtime`: util and abstraction libraries you can use in authoring apps (not app spec)
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Below is a UML diagram
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‎docs/source/components/utils.rst‎

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.. automodule:: torchx.components.utils
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.. currentmodule:: torchx.components.utils
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.. autofunction:: torchx.components.utils.echo
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.. autofunction:: torchx.components.utils.touch
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.. autofunction:: torchx.components.utils.sh
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.. autofunction:: torchx.components.utils.copy
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.. autofunction:: torchx.components.utils.python
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.. autofunction:: torchx.components.utils.booth
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.. autofunction:: echo
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.. autofunction:: touch
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.. autofunction:: sh
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.. autofunction:: copy
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.. autofunction:: python
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.. autofunction:: booth
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.. autofunction:: binary

‎docs/source/conf.py‎

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"IPython.sphinxext.ipython_console_highlighting",
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]
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# coverage options
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coverage_ignore_modules = [
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"torchx.components.component_test_base",
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]
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# katex options
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#
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#

‎docs/source/index.rst‎

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**GETTING STARTED?** First learn the :ref:`basic concepts<basics:Basic Concepts>` and
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follow the :ref:`quickstart guide<quickstart:Quickstart>`.
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follow the :ref:`quickstart guide<quickstart:Quickstart - Custom Components>`.
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.. image:: torchx_index_diag.png
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quickstart.md
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cli
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runner.config
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advanced
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Works With
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---------------
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.. _Schedulers:
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.. toctree::
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:maxdepth: 1
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:caption: Schedulers
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schedulers/local
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schedulers/docker
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schedulers/kubernetes
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schedulers/slurm
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schedulers/ray
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schedulers/aws_batch
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.. _Pipelines:
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.. toctree::
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:maxdepth: 1
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:caption: Pipelines
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pipelines/kfp
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Examples
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------------
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examples_pipelines/index
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Components Library
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---------------------
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.. _Components:
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runtime/tracking
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Works With
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.. _Schedulers:
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.. toctree::
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schedulers/local
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schedulers/kubernetes
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schedulers/slurm
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schedulers/ray
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schedulers/aws_batch
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pipelines/kfp
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-----------
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specs
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runner
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workspace
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component_best_practices
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Experimental
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---------------
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.. toctree::
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:caption: Experimental Features
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experimental/runner.config
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‎docs/source/quickstart.md‎

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---
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# Quickstart
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# Quickstart - Custom Components
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This is a self contained guide on how to build a simple app and component spec
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and launch it via two different schedulers.

‎docs/source/experimental/runner.config.rst‎ renamed to ‎docs/source/runner.config.rst‎

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(beta) .torchxconfig file
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.torchxconfig
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.. autofunction:: apply
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.. autofunction:: load
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.. autofunction:: dump
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.. autofunction:: find_configs
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.. autofunction:: get_configs
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.. autofunction:: get_config
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.. autofunction:: load_sections

‎docs/source/runtime/hpo.rst‎

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:members:
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:members:

‎docs/source/schedulers/aws_batch.rst‎

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=================
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:show-inheritance:
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.. autoclass:: BatchJob
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:members:
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Reference
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~~~~~~~~~~~~
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.. autofunction:: create_scheduler

‎docs/source/schedulers/docker.rst‎

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Docker
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=================
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.. automodule:: torchx.schedulers.docker_scheduler
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.. currentmodule:: torchx.schedulers.docker_scheduler
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.. autoclass:: DockerScheduler
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:members:
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:show-inheritance:
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.. autoclass:: DockerJob
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:members:
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Reference
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~~~~~~~~~~~~
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.. autofunction:: create_scheduler
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.. autoclass:: DockerContainer
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:members:
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.. autofunction:: has_docker

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